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The current approximation models use inducing points to reduce the number of data points. Do there exist approximation models specifically for multi-output models so that the number of output channels…
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## 🚀 Feature
after a model is constructed, whichever module(layer) you are at right now, you can get its input layer list and output layer list.
## Motivation
I'm writing a demo to go through t…
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### Your current environment
The output of `python collect_env.py`
```text
latest vllm 0.6.1
```
### Model Input Dumps
tt
### 🐛 Describe the bug
InternVL multi image speed is slower …
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Hi everyone,
I have developed a custom Multi-Layer Perceptron (MLP) model using PyTorch, which has been pre-trained for my specific application. The model architecture has an input size of 579 feat…
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Currently, we handle single-output class weights. Keras itself should have support for multi-output class weights, but that feature is broken (https://github.com/keras-team/keras/issues/4735) and ther…
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Keras loss functions seems to work really bad when we don't compile a model that knows that it it a multi-output problem. The machine creators should have a parameter that specifies how many dims each…
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### Your environment
Which OS do you use?
Linux
Which version of GHC do you use and how did you install it?
9.8.2, ghcup
How is your project built (alternative: link to the project)…
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### Version modpack Used
0.7.14
### Environment
singleplayer
### New Worlds
Yes
### Expected Behavior
I expect the fluid drilling rig to give output when supplied with energy
### Actual Behav…
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Hi
I am trying to integrate spark with open lineange in aa multi thread setup as shown below
from pyspark.sql import SparkSession
from pyspark import SparkConf
from pyspark.sql.functions import co…
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### What happened?
I quickly ran through the code and it looks like the module will not work correctly with cache if used with persistent storage (Redis for example https://axios-cache-interceptor.js…